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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Accelerated Test-Time Scaling with Model-Free Speculative Sampling

    Researchers have developed STAND (STochastic Adaptive N-gram Drafting), a new model-free speculative decoding technique designed to accelerate language model reasoning. This method leverages the redundancy in reasoning trajectories to predict tokens more efficiently without needing a separate draft model. STAND has demonstrated a 60-65% reduction in inference latency across various reasoning tasks and models, while maintaining accuracy and outperforming existing speculative decoding methods. AI

    IMPACT Accelerates LLM inference speed, potentially enabling more complex reasoning tasks and wider deployment.

  2. DeepSeek-V4 Pro now available on Together AI

    DeepSeek-V4 Pro, a large Mixture-of-Experts model with 1.6 trillion parameters, is now accessible on the Together AI platform. This model is designed for long-context reasoning, supporting up to a 512K-token context window in its initial Together AI deployment, with plans for a 1M-token context window. It features controllable reasoning modes to optimize for speed or depth and offers specialized pricing for cached input tokens to reduce costs on repeated queries. AI

    IMPACT Enables new applications requiring reasoning over extensive datasets, potentially lowering costs for repeated long-context queries.